Prompts library

Severity-labelled feedback on a diff.

Rank likely causes before touching code.

Explain a query and suggest indexes.

Review an API for consistency and DX.

Describe a pattern; get the regex + tests.

Chain: spec → plan → build → test → PR.

Chain: metrics → layout → code → mock data.

One business goal → a dashboard blueprint.

Plain-English question to query and viz.

Chain: build an app that charts from a question.

Critique and simplify an overloaded view.

A checklist before you touch the dataset.

Describe the goal; get the formula + gotchas.

Turn messy columns into a tidy dataframe.

Learn your voice, then write in it.

Raw commits → user-facing release notes.

Tighten prose without changing your meaning.

Extract decisions and owners from messy notes.

Chain: angle → outline → draft → atomize.

Headlines, subhead, and CTAs that convert.

Short, specific, easy to say yes to.

One-line idea → a detailed image prompt.

Questions that surface real pain and budget.

Calm, specific replies to common pushback.

Turn a fuzzy choice into a scored table.

Steelman the case against your idea.

Chain: positioning → messaging → plan.

Vague idea → INVEST-ready stories.

A crisp problem/solution brief to react to.

Duties → measurable, recruiter-ready wins.

Realistic questions, then scored critique.

A cited brief with explicit source rules.

Strip a problem to fundamentals and rebuild.

A fair side-by-side on the axes that matter.

Two altitudes, then where they disagree.

Active recall: it quizzes you, patches gaps.

Chain: roadmap → teach → quiz → project.

Reflect, then plan the week that matters.

Triage emails and pre-write the responses.

Specific, prioritized design feedback.

Describe it; get clean, accessible code.

A meta-prompt that rewrites your prompt.

Turn a job description into a system prompt.

Chain: criteria → test cases → grader.

Plan a production-ready Next.js setup before generating files

Configure TypeScript, linting, formatting, and scripts cleanly

Containerize an app with local services and repeatable commands

Generate a dependable CI pipeline for tests and checks

Create project rules for Claude, Cursor, Codex, or Copilot

Set up Python packaging, tests, linting, and commands

Design clear env vars, examples, validation, and secret rules

Create a practical personal or team workspace system

Turn a repeated task into a reliable no-code automation

Define events, properties, funnels, and QA checks

Convert messy notes into a structured, useful document

Write a firm, tactful email for sensitive situations

Break a goal into phases, owners, dependencies, and risks

Convert informal know-how into a repeatable operating procedure

Build a focused agenda for manager or teammate conversations

Compare vendors with weighted criteria and implementation risk

Create a simple budget, bills, savings, and review rhythm

Plan packages, scripts, caching, and workspace conventions for a monorepo

Model tables, indexes, constraints, and row-level security policies

Choose auth flows, session storage, roles, and security controls

Plan products, subscriptions, webhooks, entitlements, and billing states

Design alerts, logs, traces, dashboards, and incident signals

Configure lint-staged, formatting, type checks, and commit validation

Create scalable tokens for colors, spacing, typography, and modes

Plan templates, deliverability, webhooks, and email event handling

Run local models for private drafting, coding, and document workflows

Plan manifest, permissions, scripts, storage, and release workflow

Turn strategy and priorities into measurable quarterly OKRs

Extract lessons, decisions, and follow-up actions from completed work

Prepare evidence, positioning, and responses for compensation conversations

Extract claims, methods, evidence, limitations, and practical implications

Convert dense material into a concise presentation narrative

Analyze a competitor's positioning, product, funnel, and strategic gaps

Turn an idea into a decision-ready technical design document